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Propagating and Aggregating Fuzzy Polarities for Concept-Level Sentiment Analysis.

, , and . Cognitive Computation, 7 (2): 186-197 (2015)

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Approximated Type-2 Fuzzy Set Operations., , and . FUZZ-IEEE, page 1910-1917. IEEE, (2006)Syntactic Possibilistic Goal Generation., and . ECAI, volume 263 of Frontiers in Artificial Intelligence and Applications, page 711-716. IOS Press, (2014)Handling Norms in Multi-agent Systems by Means of Formal Argumentation., , , , , , and . FLAP, 4 (9): 3039-3073 (2017)Challenges in Bridging Social Semantics and Formal Semantics on the Web., , , , , , , , , and . CoRR, (2014)Linguistic Summarization of Time Series Data using Genetic Algorithms., , , and . EUSFLAT Conf., page 416-423. Atlantis Press, (2011)Propagating and Aggregating Fuzzy Polarities for Concept-Level Sentiment Analysis., , and . Cognitive Computation, 7 (2): 186-197 (2015)Possibilistic testing of OWL axioms against RDF data., , and . Int. J. Approx. Reasoning, (2017)Testing Carlo Cipolla's Laws of Human Stupidity with Agent-Based Modeling., and . WI-IAT (3), page 246-253. IEEE Computer Society, (2014)978-1-4799-4143-8.Constructing Metrics for Evaluating Multi-Relational Association Rules in the Semantic Web from Metrics for Scoring Association Rules., , , and . RIVF, page 1-6. IEEE, (2019)Predicting the possibilistic score of OWL axioms through modified support vector clustering., and . SAC, page 1984-1991. ACM, (2018)